We Secure Your AI.



We Secure Your AI Risks.

We are your AI Security Enablement Partner, powered by a proprietary SaaS platform that tracks your AI security tasks across the AI lifecycle. We embed expert AI security engineers into your business - deploying tested, vendor-agnostic tools to secure your AI models, LLMs, GenAI workflows and data pipelines. We then monitor the continued success of the tools via our DevSecAI SaaS Platform.

27 AI Embedded Engineers | Over 100 AI Security Certifications | 6 Research Labs based in UK, US, Canada, Switzerland, Malaysia, Singapore | 1 DevSecAI Tracking SaaS Platform

The DevSecAI Platform.


We have built the world’s first AI development security workflow platform - purpose-built to embed security across your AI systems and SDLC. The DevSecAI platform alerts your teams when to conduct critical security actions like threat modelling on new model releases, penetration testing before deployment, or scanning for prompt injection and data poisoning. It provides enterprise-grade templates, frameworks, and AI security maturity assessments aligned to our proprietary DSAIF Framework - all in one central interface. You can integrate your existing scanning tools, track security readiness across products, and access AI discovery insights in real time. Every client is paired with a dedicated embedded DevSecAI engineer to ensure the platform always works effectively across your business.

DevSecAI Services

12 Principle AI Services

Machine Learning Security Implementation

We embed and integrate Open-Source ML Security Tools within your AI Development Lifecycle. The alerting and accuracy of these tools is tracked and monitored using our DevSecAI workflow platform.

Machine Learning Security Implementation

We embed and integrate Open-Source ML Security Tools within your AI Development Lifecycle. The alerting and accuracy of these tools is tracked and monitored using our DevSecAI workflow platform.

Machine Learning Security Implementation

We embed and integrate Open-Source ML Security Tools within your AI Development Lifecycle. The alerting and accuracy of these tools is tracked and monitored using our DevSecAI workflow platform.

AI Security Training Workshops

We upskill your teams in AI Security, with hands-on training workshops and AI attack methodologies.

AI Security Training Workshops

We upskill your teams in AI Security, with hands-on training workshops and AI attack methodologies.

AI Security Training Workshops

We upskill your teams in AI Security, with hands-on training workshops and AI attack methodologies.

AI Security Maturity Assessment

We benchmark your AI security posture using our DSAIF framework. We continuously monitor your score through the DevSecAI platform.

AI Security Maturity Assessment

We benchmark your AI security posture using our DSAIF framework. We continuously monitor your score through the DevSecAI platform.

AI Security Maturity Assessment

We benchmark your AI security posture using our DSAIF framework. We continuously monitor your score through the DevSecAI platform.

AI Threat Modelling

We identify potential attackers targeting your AI systems. These scenarios are built and tracked within the DevSecAI platform.

AI Threat Modelling

We identify potential attackers targeting your AI systems. These scenarios are built and tracked within the DevSecAI platform.

AI Threat Modelling

We identify potential attackers targeting your AI systems. These scenarios are built and tracked within the DevSecAI platform.

Our AI Security Labs


We have built 6 AI Security labs to research and test the latest AI security tools before deploying to clients.



Our AI Security Labs


We have built 6 AI Security labs to research

and test the latest AI security

tools before deploying to clients.



Our AI Security Labs


We have built 6 AI Security labs to research and test the latest AI security tools before deploying to clients.



ML Security Lab

Our ML Security Lab focuses on protecting machine learning models from threats and attacks.

Data AI Security Lab

Our data team secures your data pipeline from ingestion to storage.

Gen AI & Privacy Lab

Our Gen AI and privacy lab uses the lastest Gen AI tools on a daily basis and tests them for security vulnerabilities.

AI Deployment Security Lab

Our AI deployment security lab focuses on securing the tools to run, configure and monitor AI tooling in production environments.

Business Intelligence AI Lab

Our business intelligence security team are experts at securing visualisation dashboards such as Tableau, PowerBI and more.

DevSecOps AI Security Lab

Our DevSecOps team deploys the latest AI security tools within the software development life cycle,
utilising AI to improve alerting.

Embedded Security.

Our unique methodology is through embedding within your teams as AI security experts, leaving you free to focus on building new applications and running your models confidently.

Embedded Security.

Our unique methodology is through embedding within your teams as AI security experts, leaving you free to focus on building new applications and running your models confidently.

Services

Our AI Security Engagement Process

  1. Embed & Assess

A project scoping call will define delivery criteria and assessment scope of your AI services, key stakeholders and teams. We will initially embed DevSecAI engineers within your teams to ensure delivery success and provide business context. They will use the DevSecAI Platform to map your AI assets and security maturity.

  1. Principle Delivery

Depending on the scope of the assessment our DevSecAI principle services will be delivered first using our DevSecAI Framework. This will ensure we prioritise the change required to reduce AI risk.

  1. Implement Change

Options for implementing change to improve maturity and reduce AI risks will be presented following principle delivery. Implementation can be led or supported by our engineers: from putting in place automated ML attack detection tools to rolling out DevSecAI champion programs.

  1. Continued DevSecAI Support

A DevSecAI Engineer will remain as your AI security partner, providing access to the DevSecAI Platform, latest tooling and updates from our labs and continuing embedding to ensure AI risks are mitigated as early as possible - this model can scale as required.

Services

Our AI Security Engagement Process

  1. Embed & Assess

A project scoping call will define delivery criteria and assessment scope of your AI services, key stakeholders and teams. We will initially embed DevSecAI engineers within your teams to ensure delivery success and provide business context. They will use the DevSecAI Platform to map your AI assets and security maturity.

  1. Principle Delivery

Depending on the scope of the assessment our DevSecAI principle services will be delivered first using our DevSecAI Framework. This will ensure we prioritise the change required to reduce AI risk.

  1. Implement Change

Options for implementing change to improve maturity and reduce AI risks will be presented following principle delivery. Implementation can be led or supported by our engineers: from putting in place automated ML attack detection tools to rolling out DevSecAI champion programs.

  1. Continued DevSecAI Support

A DevSecAI Engineer will remain as your AI security partner, providing access to the DevSecAI Platform, latest tooling and updates from our labs and continuing embedding to ensure AI risks are mitigated as early as possible - this model can scale as required.

The DevSecAI Framework (DSAIF)

AI Security isn't just about your models—it's a full ecosystem. Our framework ensures security is embedded at every stage of your AI journey through the AI Development Life Cycle.

Discover - Identify your organisation’s AI usage: from tooling and model

versions to access, configuration, and deployments. Visibility is the first

control.

Discover - Identify your organisation’s AI usage: from tooling

and model versions to access, configuration, and deployments.

Visibility is the first control.


Survey - By assessing risks, tools and use cases, teams must be trained to

challenge AI behaviour, outputs, and configurations.




Survey - By assessing risks, tools and use cases, teams must

be trained to challenge AI behaviour, outputs,

and configurations.



Automate - Implement automated defences against model poisoning,

prompt injection, and unsafe LLM usage - tailored to your organisation’s

tooling.

Automate - Implement automated defences against model

poisoning, prompt injection, and unsafe LLM usage

- tailored to your organisation’s tooling.

Improve - Continuously improve security controls and upskill teams

through a security-first AI culture.

Improve - Continuously improve security controls and upskill

teams through a security-first AI culture.

Forecast - Staying ahead of the ever-evolving threat landscape

to promote future AI innovation.

Get in Touch

With over 100 cyber security and AI certifications between our DevSecAI Engineers, we are unmatched experts in securing AI systems globally.  We provide our clients with a global AI Security response, with offices in the UK, Switzerland, US, Canada, Singapore and Malaysia.

Email

info@devsecai.com

Office

King's Tower, Chelsea, London SW6 2FZ

Subscribe to our newsletter for the latest AI security insights and updates.

By subscribing, you consent to our Privacy Policy and agree to receive updates.

© 2025 DevSecAI. All rights reserved.

Cookie Settings

Terms of Service